3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation. (arXiv:2205.09299v1 [cs.CV])

Convolutional Neural Networks (CNNs) have achieved promising results in
medical image segmentation. However, CNNs require lots of training data and are
incapable of handling pose and deformation of objects. Furthermore, their
pooling layers tend to discard important information such as positions as well
as CNNs are sensitive to rotation and affine transformation. Capsule network is
a recent new architecture that has achieved better robustness in part-whole
representation learning by replacing pooling layers with dynamic routing and
convolutional strides, which has …

arxiv cv encoder image medical segmentation